JP2020532716A - Vibrometer reference traceable verification - Google Patents

Abstract

A reference traceable verification system (600) for the vibrometer is provided. The system (600) includes a storage device (610) having a baseline instrument verification value of the vibrometer (5) and a processing system (620) that communicates with the storage device (610). The processing system (620) acquires the baseline instrument verification value from the storage device (610) and determines the relationship between the baseline instrument verification value and the calibration value of the vibrometer (5). The calibration value can be traced to the measurement reference. [Selection diagram] Fig. 5

Description

The embodiments described below relate to the verification of the vibrometer, in particular the reference traceable verification of the vibrometer.

For example, vibration meters such as Koriori mass flow meter, liquid densitometer, gas densitometer, liquid viscometer, gas / liquid hydrometer, gas / liquid relative densitometer, and gas molecular weight meter are generally known and fluids. It is used to measure the characteristics of. Generally, the vibrometer includes a sensor assembly and an electronic device unit. The material in the sensor assembly can flow or rest. Each type of sensor may have its own characteristics, and the instrument must take this characteristic into account to achieve optimum performance. For example, some sensors may require a tubing device to vibrate at a particular displacement level. Other sensor assembly types may require special compensation algorithms.

Instrument electronics typically include sensor calibration values stored for the particular sensor used, while performing other functions. For example, instrument electronics may include stiffness measurements. Baseline sensor stiffness represents a basic measurement of sensor geometry for a special sensor assembly, as measured in the factory under standard conditions. Changes between stiffness and baseline sensor stiffness measured after the vibrometer is installed at the customer site can cause paint, erosion, corrosion, or damage to conduits in the sensor assembly, in addition to other causes. It can represent a physical change in the causative sensor assembly. If the instrument stiffness is the same as the baseline instrument stiffness, then that assumption can satisfy that no physical change has occurred in the sensor assembly.

However, baseline stiffness, or other instrument verification values, are not currently reference traceable. That is, although values can be expressed using basic units, the amount of stiffness value is not considered traceable to metrics such as reference mass, force, time, etc. .. Reference traceable verification will, for example, allow comparisons between instrument verifications of different flowmeters with a guarantee that the comparison is a reference traceable value. Therefore, it is necessary for the reference traceable verification of the vibrometer.

A system for reference traceable verification of the vibrometer is provided. According to one embodiment, the system includes a storage device having a baseline instrument verification value of the vibrometer and a processing system that communicates with the storage device. The processing system is configured to acquire the baseline instrument verification value from the storage device and determine the relationship between the baseline instrument verification value and the calibration value of the vibrometer, and the calibration value is measured. It can be traced to the standard.

A method for reference traceable verification of the vibrometer is provided. According to one embodiment, the method comprises determining the baseline instrument verification value of the vibrometer and determining the relationship between the baseline instrument verification value and the calibration value of the vibrometer. , The calibration value can be traced to the measurement reference.

A method for reference traceable verification of the vibrometer is provided. According to one embodiment, the method comprises acquiring a relationship between a baseline instrument verification value and a calibration value and determining a value of a physical attribute of the vibrometer based on the relationship.

A reference traceable verification method for the vibrometer is provided. According to one embodiment, the method determines a first baseline instrument verification value of the first physical attribute of the vibration meter, and of the first baseline instrument verification value and the first physical attribute. Determining the relationship with the calibration value, determining the value of the second physical attribute of the vibration meter based on the relationship, determining the instrument verification value of the second physical attribute, and determining the second physical attribute. It comprises comparing the value of the attribute with the calibration value of the second physical attribute.

Aspects According to one aspect, the reference traceable verification system (600) of the vibrometer (5) is a storage device (610) having a baseline instrument verification value of the vibrometer (5) and the storage. It includes a processing system (620) that communicates with the device (610). The processing system (620) acquires the baseline instrument verification value from the storage device (610) and determines the relationship between the baseline instrument verification value and the calibration value of the vibrometer (5). The calibration value can be traced to the measurement reference.

Preferably, the processing system (620) configured to determine the baseline instrument verification value of the vibrometer has the baseline instrument verification value associated with one of a right side pickoff sensor and a left side pickoff sensor. The processing system (620) is configured to determine.

Preferably, the processing system (620) configured to determine the baseline instrument verification value of the vibrometer comprises the processing system (620) configured to determine the following equation.

here,
The Stiffness _SMV is the rigidity instrument verification value of the vibrometer, which is the baseline instrument verification value.
Stiffness _Physical is the physical rigidity value of the vibrometer and
G is the gain associated with one of the left pick-off sensor and the right pick-off sensor.

Preferably, the processing system (620) configured to determine the relationship between the baseline instrument validation value and the calibration value determines the gain between the baseline instrument validation value and the calibration value. The processing system (620) configured as described above is provided.

Preferably, the gain is associated with one of a right side pickoff sensor and a left side pickoff sensor.

Preferably, the gain is determined using one of the following equations:

here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is a stiffness instrument verification value associated with the right pick-off sensor.
_{Stiffness SMVLPO} is a stiffness meter verification value associated with the left pick-off sensor, and is
The FCF is the flow rate calibration coefficient of the vibrometer and is the calibration value expressed in units of rigidity.

Preferably, the processing system (620) configured to determine the relationship between the baseline instrument verification value and the calibration value comprises the processing system (620) configured using the following equation.

here,
Stiffness _Physical is the physical rigidity value of the vibrometer and
FCF is a flow rate calibration coefficient of the vibrometer and is the calibration value of the vibrometer expressed in units of rigidity.

Preferably, determining the relationship between the baseline instrument verification value and the calibration value of the vibrometer (5) comprises determining a reference physical attribute value from the calibration value.

Preferably, the baseline instrument verification value is one of the baseline mass meter verification value and the baseline rigidity instrument verification value of the vibrometer.

Preferably, the calibration value is one of the flow rate calibration coefficient and the tube period of the vibrometer.

According to one aspect, the method for reference traceable verification of the vibrometer is to determine the baseline instrument verification value of the vibrometer and the baseline instrument verification value and the calibration value of the vibrometer. The calibration value is traceable to the metric, including determining the relationship.

Preferably, determining the baseline instrument verification value of the vibrometer comprises determining a baseline instrument verification value associated with one of the right side pickoff sensor and the left side pickoff sensor.

Preferably, determining the baseline instrument verification value of the vibrometer comprises using the following equation:

here,
The Stiffness _SMV is the rigidity instrument verification value of the vibrometer, which is the baseline instrument verification value.
Stiffness _Physical is the physical rigidity value of the vibrometer and
G is the gain associated with one of the left pick-off sensor and the right pick-off sensor.

Preferably, determining the relationship between the baseline instrument verification value and the calibration value comprises determining a gain between the baseline instrument verification value and the calibration value.

Preferably, the gain is associated with one of a right side pickoff sensor and a left side pickoff sensor.

Preferably, the gain is determined using one of the following equations:

here,
G _LPO is the gain associated with the left pick-off sensor
G _LPO is the gain associated with the right pick-off sensor
_{Stiffness SMVRPO} is a stiffness instrument verification value associated with the right pick-off sensor.
The _{Stiffness SMVLPO} is a stiffness instrument verification value associated with the left pick-off sensor, and is
The FCF is the flow rate calibration coefficient of the vibrometer and is the calibration value expressed in units of rigidity.

Preferably, determining the relationship between the baseline instrument validation value and the calibration value comprises using the following equation:

here,
Stiffness _Physical is the physical rigidity value of the vibrometer and
FCF is a flow rate calibration coefficient of the vibrometer and is the calibration value of the vibrometer expressed in units of rigidity.

Preferably, determining the relationship between the baseline instrument validation value and the calibration value comprises determining a reference physical attribute value from the calibration value.

Preferably, the baseline instrument verification value is one of the baseline mass meter verification value and the baseline stiffness instrument verification value of the vibrometer.

Preferably, the calibration value is one of the flow rate calibration coefficient and the tube period of the vibrometer.

According to one aspect, the method for reference traceable verification of the vibrometer is to obtain the relationship between the baseline instrument verification value and the calibration value and the value of the physical attribute of the vibrometer based on the relationship. To be prepared for.

Preferably, the baseline instrument verification value is one of the baseline rigidity instrument verification value and the baseline mass meter verification value, and the calibration value is the flow rate calibration coefficient and the tube cycle of the vibrometer. It is one of them.

Preferably, acquiring the relationship between the baseline instrument verification value and the calibration value comprises acquiring a gain determined using one of the following equations:

here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is the stiffness value associated with the right pick-off sensor.
The _{Stiffness SMVLPO} is a stiffness value associated with the left pick-off sensor and is
The FCF is the flow rate calibration coefficient of the vibrometer and is the calibration value expressed in units of rigidity.

Preferably, determining the value of the physical attribute of the vibrometer based on the relationship determines the physical mass value of the vibrometer based on the mass meter verification value and gain of the vibrometer. To be equipped.

Preferably, determining the physical mass value of the vibrometer based on the mass meter verification value and the gain of the vibrometer comprises determining one of the following equations:

here,
The Mass _{SMVPphysicalLPO} is the physical mass value of the vibrometer determined using the left pick-off sensor.
The Mass _SMVLPO is the mass meter verification value of the vibrometer associated with the left pick-off sensor.
G _LPO is the gain associated with the left pick-off sensor and

here,
Mass _{SMVPphysicalRPO} is the physical mass value of the vibrometer determined using the right pick-off sensor.
The Mass _SMVRPO is the mass meter verification value of the vibrometer associated with the right pick-off sensor, and is
The G _RPO is the gain associated with the right pick-off sensor.

Preferably, the method further comprises comparing the value of the physical attribute of the vibrometer with a reference physical attribute value determined from the second calibration value of the vibrometer.

Preferably, comparing the value of the physical attribute of the vibrometer with the reference physical attribute value determines the deviation from the reference physical attribute value using one of the following equations: With

here,
A Mass _{traceable Deviation LPO} is a reference _traceable deviation of the physical attribute from the reference physical attribute value as measured by the left pick-off sensor.
The Mass _{SMVPhysicalLPO} is the physical mass value of the vibrometer determined by using the left pick-off sensor, which is the physical attribute of the vibrometer, and is
The m _reference is a reference mass value which is the reference physical attribute value of the vibrometer, and is

here,
The Mass _{traceable DeviationRPO} is a reference _traceable deviation of the physical attribute from the reference physical attribute value as measured by the right pick-off sensor.
The Mass _{SMVPphysicalRPO} is the physical mass of the vibrometer measured by the right pick-off sensor, which is the physical attribute of the vibrometer, and is
m _reference is a reference mass value which is the reference physical attribute value of the vibrometer.

Preferably, the reference physical attribute value is a reference mass value determined using the following equation.

m _reference is the reference mass value which is the reference physical attribute value, and is
The FCF is a flow rate calibration coefficient, which is the calibration value expressed in units of rigidity, and
The freq _reference is a reference frequency value determined from the second calibration value, and the second calibration value is the tube period in air K1.

According to one aspect, the reference traceable verification method of the vibration meter is to determine the first baseline instrument verification value of the first physical attribute of the vibration meter and the first baseline instrument verification value. Determining the relationship with the calibration value of the first physical attribute, and determining the value of the second physical attribute of the vibration meter based on the relationship and the instrument verification value of the second physical attribute. , The value of the second physical attribute is compared with the calibration value of the second physical attribute.

Preferably, the first baseline instrument verification value is one of a baseline mass meter verification value, a baseline stiffness instrument verification value, and a baseline conduit amplitude value.

Preferably, determining the relationship between the first baseline instrument verification value and the calibration value of the first physical attribute is the calibration of the first baseline instrument verification value and the first physical attribute. Provided to determine the gain between values.

Preferably, comparing the value of the second physical attribute with the calibration value of the second physical attribute is a reference physical attribute that determines the value of the second physical attribute from the calibration value. Be prepared to compare with the value.

Preferably, the method comprises the first baseline instrument verification value, the calibration value of the first physical attribute, the value of the second physical attribute, and the value of the second physical attribute and said. It further comprises performing at least one frequency check of the comparison with the calibration value of the second physical attribute.

The same reference number represents the same element in all drawings. It should be understood that the drawings are not necessarily on scale.

FIG. 1 shows a vibrometer 5 that can be verified by reference traceable verification. FIG. 2 shows a block diagram of the vibrometer 5 including a block diagram display of the instrument electronic device 20. FIG. 3 shows method 300 for reference traceable verification of the vibrometer. FIG. 4 shows a method 400 for reference traceable verification of a vibrometer. FIG. 5 shows method 500 for reference traceable verification of the vibrometer. FIG. 6 shows a system 600 for reference traceable verification of the vibrometer.

Figures 1-6 and the following description depict specific examples for teaching those skilled in the art how to manufacture and use the best embodiments of reference traceable verification of vibrometers. To teach the principles of the invention, some conventional embodiments are simplified or omitted. Those skilled in the art will recognize variations from these examples that fall within the scope of this description. Those skilled in the art will recognize that the features described below can be linked to various means of forming multiple variations of reference traceable validation of vibrometers. As a result, the embodiments described below are limited only by claims and their equivalents, not by the specific examples described below.

Vibrometer reference traceable verification can be achieved by determining the baseline instrument verification value of the vibrometer and by determining the relationship between the baseline instrument verification value and the vibration meter calibration value, where The calibration value can be traced to the metric. Determining the relationship between the baseline instrument validation value and the calibration value may include, for example, determining the gain associated with the pick-off sensor in the vibrometer and multiplying the calibration value by the gain.

This relationship can be based on the equation between the physical attributes measured over instrument verification and the reference physical attributes determined over calibration. For example, the baseline physical stiffness value should be the same as the reference stiffness value determined from the calibration factor, such as the flow rate calibration factor, which is a traceable configuration to the metric.

Since the calibration values can be traced to the metrics, comparisons based on instrument validation values such as physical mass values determined over instrument validation and calibration values such as reference mass values determined from the tube cycle are also possible. It is also traceable. For example, a mass shift consisting of a difference between a physical mass value and a reference mass value is considered reference traceable.

FIG. 1 shows a vibrometer 5 that can be verified by reference traceable verification. As shown in FIG. 1, the vibrometer 5 includes a sensor assembly 10 and an instrument electronic device 20. The sensor assembly 10 reacts to the mass flow rate and density of the processing material. The instrument electronic device 20 is connected to the sensor assembly 10 via a lead wire 100 to provide density, mass flow rate, and temperature information as well as other information on the path 26.

The sensor assembly 10 includes a pair of manifolds 150, 150', flanges 103, 103' with flange necks 110, 110', a pair of parallel conduits 130, 130', a drive device 180, a resistance temperature detector (RTD) 190, It also includes a pair of pick-off sensors 170r, 170r. The conduits 130, 130'have two essentially straight inlet legs 131, 131' and outlet legs 134, 134' that join each other at the conduit mounting blocks 120, 120'. The conduits 130, 130'bend at two contrasting positions along their overall length and are essentially parallel throughout their overall length. The brace bars 140, 140'help define the axes W, W'where the conduits 130, 130', respectively, vibrate. The legs 131, 131'and 134, 134'of the conduits 130, 130' are fixedly attached to the conduit mounting blocks 120, 120', and these blocks are in turn fixed to the manifolds 150, 150'. It is attached. This provides a closed material pathway connected at every corner of the sensor assembly 10.

When flanges 103, 103'with a plurality of holes 102, 102' are connected to a processing line (not shown) carrying the material to be measured via an inlet end 104 and an outlet end 104', the material. Is guided through the opening 101 in the flange 103 into the inlet end 104 of the instrument and through the manifold 150 to the conduit mounting block 120 having the surface 121. Within the manifold 150, the material is separated and passes through conduits 130, 130'. Immediately after exiting the conduits 130, 130', the material to be treated is recombined into a single stream within the block 120', which has a surface 121'and a manifold 150', followed by a flange 103 having holes 102'. It passes through an outlet end 104'connected to a processing line (not shown) by'.

The conduits 130, 130'are selected and conduit mounting to substantially have a mass distribution, a moment of inertia, and a Young's modulus with respect to the bending axes W-W and W'-W', respectively. Properly mounted on blocks 120, 120'. These bending shafts pass through the brace bars 140, 140'. Considering that the Young's modulus of the conduit changes with temperature and this change affects the calculation of flow rate and density, the RTD 190 is on the conduit 130'to continuously measure the temperature of the conduit 130'. It will be mounted. The temperature of the conduit 130'and, therefore, the potential appearing across the RTD 190 due to the given passing current is determined by the temperature of the material passing through the conduit 130'. The temperature-potential dependence that appears across the RTD 190 is used by a well-known method by the instrument electronic device 20 to compensate for any change in the elastic modulus of the conduits 130, 130' due to any change in conduit temperature. The RTD 190 is connected to the instrument electronic device 20 by a lead wire 195.

Both the conduits 130 and 130'are in opposite directions with respect to their respective bending axes W and W', and are referred to as the first out-phase bending mode of the flow meter, and are driven by the drive device 180. The drive 180 has many, such as magnets mounted on conduit 130'and opposing coils mounted on conduit 130 and alternating current is sent to vibrate both conduits 130, 130'. May include one of the well-known arrangements of. The appropriate drive signal 185 is applied to the drive device 180 via a wire by the instrument electronic device 20.

The instrument electronic device 20 receives the RTD temperature signal on the lead wire 195 and the left and right sensor signals appearing on the lead wire 100 carrying the left and right sensor signals 165l and 165r, respectively. The instrument electronic device 20 generates a drive signal 185 that appears on the lead wire for the drive device 180 and vibrates the conduits 130, 130'. The instrument electronics 20 processes left and right sensor signals and RTD signals to calculate the mass flow rate and density of material passing through the sensor assembly 10. This information, along with other information, is added by the instrument electronic device 20 over the path 26 as a single signal.

FIG. 2 shows a block diagram of the vibrometer 5 including a block diagram display of the instrument electronic device 20. As shown in FIG. 2, the instrument electronic device 20 is communicably coupled to the sensor assembly 10. As mentioned above in connection with FIG. 1, the sensor assembly 10 is communicably coupled to the instrument electronic device 20 through the communication channel 112 and the I / O port 260 via a set of leads 100, left and right. Includes pick-off sensors 170l, 170r, drive 180, and temperature sensor 190.

The instrument electronic device 20 provides a drive signal 185 via the lead wire 100. More specifically, the instrument electronic device 20 provides the drive signal 185 to the drive device 180 in the sensor assembly 10. In addition, the sensor signal 165 is provided by the sensor assembly 10. More specifically, in the present embodiment shown, the sensor signal 165 is provided by the left and right pick-off sensors 170l, 170r in the sensor assembly 10. As recognizable, the two sensor signals 165 are each provided to the instrument electronic device 20 through the communication channel 112.

The instrument electronic device 20 includes one or more signal processors 220 and a processor 210 communicatively coupled with one or more memories 230. The processor 210 is also communicably coupled with the user interface 30. The processor 210 is communicably coupled to the host through a communication port over path 26 and receives power through the power port 250.

The processor 210 may be any suitable processor, but may be a microprocessor. For example, the processor 210 may consist of a multi-core processor, a serial communication port, a peripheral interface (eg, a serial peripheral interface), an on-chip memory, and / or a subprocessor such as an I / O port. In these and other embodiments, the processor 210 is configured to operate on a received and processed signal, such as a digitized signal.

Processor 210 may receive digitized sensor signals from one or more signal processors 220. The processor 210 is also configured to provide information such as phase difference, fluid attributes in sensor assembly 10. Processor 210 may provide that information to the host through a communication port. The processor 210 may also be configured to communicate with one or more memories 230 in order to receive and / or store information in one or more memories 230. For example, processor 210 may receive calibration factors and / or sensor assembly zero (eg, phase difference at zero flow rate) from one or more memories 230. Each of the calibration coefficients and / or the sensor assembly zero may be associated with the flow meter 5 and / or the sensor assembly 10, respectively. Processor 210 may use calibration factors to process digitized sensor signals received from one or more signal processors 220.

One or more signal processors 220 are shown to consist of an encoder / decoder (CODEC) 222 and an analog-to-digital converter (ADC) 226. One or more signal processors 220 may adjust the analog signal, digitize the tuned analog signal, and / or provide the digitized signal. The CODEC 222 is configured to receive sensor signals 165 from the left and right pick-off sensors 170l, 170r via the amplifier 224. The CODEC 222 is also configured to provide the drive signal 185 to the drive device 180 via the amplifier 224. In alternative embodiments, more or less signal processors may be employed.

As shown, the sensor signal 165 is provided to the CODEC 222 via the signal regulator 240. The drive signal 185 is provided to the drive device 180 via the signal regulator 240. Although the signal regulator 240 is shown as a single block, the signal regulator 240 consists of a single regulating component such as two or more operational amplifiers, a filter such as a lowpass filter, a voltage-current amplifier, and the like. You may. For example, the sensor signal 165 may be amplified by the first amplifier, and the drive signal 185 may be amplified by the voltage-current amplifier. Amplification can ensure that the magnitude of the sensor signal 165 is close to the full scale range of CODEC222.

In the embodiment shown, the one or more memory 230 comprises a read-only memory (ROM) 232, a random access memory (RAM) 234, and a ferroelectric random access memory (FRAM®) 236. However, in an alternative embodiment, one or more memories 230 may consist of more or less memory. In addition or instead, the one or more memories 230 may consist of different types of memory (eg, volatile or non-volatile). Different types of non-volatile memory, such as erasable programmable read-only memory (EPROM), may be employed instead of, for example, FRAM® 236. The one or more memories 230 may be a storage device configured to store data such as calibration values, instrument verification values, and the like.

Calibration mass flow rate measurement

Can be generated by the following equation.

The Δt term is an operationally derived (ie, measured) time delay value with a time delay that exists between the pick-off sensors, such as a time delay due to the Coriolis effect associated with the flow rate through the vibration flow meter 5. To be equipped. The measured Δt term ultimately determines the mass flow rate of the fluid such that it flows through the vibration flow meter 5. The Δt ₀ term has a time delay / phase difference with a zero flow calibration constant. The Δt ₀ term is typically factory determined and programmed into the vibration flow meter 5. The time delay / phase difference at zero flow rate Δt ₀ term will not change as the flow state changes. The flow calibration factor FCF is proportional to the physical stiffness of the flow meter.

Calibration also determines the resonance or drive frequency of conduits 130, 130'when conduits 130, 130' include known material such as air or water. For example, the tube cycle in air K1 is the resonance frequency of the conduits 130, 130'when they contain air. The tube cycle in water K2 may be these resonance frequencies when the conduits 130, 130'contain water. The flow calibration coefficient FCF, the tube cycle K1 at air K1, and the tube cycle K2 value at water K2 determined by the calibration may be stored as calibration data for the first factory, for example, for later repairs. It may be a service center for this purpose, but any suitable storage location or means may be adopted. The initial calibration factory data may be considered reference traceable. For example, the flow calibration factor FCF, the tube cycle at air K1 and the tube cycle at water K2 are, for example, the International Standards Institute (ISO) 17025 standard or the American National Standards Institute / Standards Institute Conference (ANSI). / NCSL) Z540-1-1994; may be considered traceable to basic units under accredited standards such as Part 1 or other standards such as international or national standards. Calibration factory data may be traceable to, for example, ISO 31, the International Electrotechnical Commission (IEC) 60027, or a metric defined by other international or national standards. The unit of measure is the basic unit or assembly unit specified by international or national standards, and / or the base and / or assembly unit specified outside the standard but specified by international or national standards. Can be in the unit related to.

As the conduits 130, 130'are corroded, eroded, or otherwise changed, the values of the flow calibration factor FCF, the tube cycle in air K1 and the tube cycle in water K2 are the calibration data of the first factory. The problem is that the conduits 130, 130'can change over time, just as they can change over time. As a result, the stiffness of the conduits 130, 130'can vary from the baseline stiffness value over the life of the vibrometer 5. Instrument verification can detect such changes in stiffness of conduits 130, 130', which will be described in more detail below.

Instrument Verification As mentioned above, the flow calibration factor FCF reflects the material attributes as well as the cross-sectional attributes of the flow pipe and the geometry of the flow pipe. The mass flow rate of fluid flowing through a flow meter is determined by multiplying the measured time delay (or phase difference / frequency) by the flow calibration factor FCF. The flow calibration factor FCF may be related to the stiffness characteristics of the sensor assembly. If the stiffness characteristics of the sensor assembly change, the flow calibration factor FCF will also change. Changes in the material stiffness of the flowmeter will therefore affect the accuracy of the flow measurements produced by the flowmeter.

The stiffness change can be a value determined by comparing the instrument stiffness with the baseline instrument stiffness. For example, the stiffness change can be the difference between instrument stiffness and baseline instrument stiffness. In this example, the negative number may indicate the stiffness of the conduits 130, 130', which are decremented after being installed locally. The positive number may indicate the physical stiffness of the conduits 130, 130', which are increased after the baseline instrument stiffness has been determined.

If the instrument stiffness is substantially the same as the baseline instrument stiffness, then it is the vibration flow meter 5, more specifically the conduits 130, 130'when it is manufactured and calibrated, or the vibration flow rate. It can be determined that a total of 5 can be relatively immutable since the last time it was recalibrated / verified. Alternatively, if the instrument stiffness is substantially different from the baseline instrument stiffness, the conduits 130, 130'have been damaged, and the conduits 130, 130' have been eroded, corroded, or damaged (eg, frozen, excessive). It can be determined that it may not work accurately and reliably, such as when it is altered due to pressure, painting, or other conditions.

The left pick-off sensor 170l and the right pick-off sensor 170r may each have a stiffness value associated with them. More specifically, as described above, the drive device 180 exerts a force on the conduits 130, 130'and the pick-off sensors 170l, 170r measure the resulting deviation. The amount of deviation (eg, amplitude) of the conduits 130, 130'at the positions of the pick-off sensors 170l, 170r is proportional to the stiffness of the conduits 130, 130'between the drive 180 and the pick-off sensors 170l, 170r. Thus, mass, stiffness, or other instrument validation values associated with the left or right pick-off sensors 170l, 170r detect changes in conduits 130, 130'between the pick-off sensors 170l, 170r, respectively, and the drive 180. Can be used for That is, the mass, stiffness, or other instrument verification parameters may be for each of the pair of pick-off sensors.

With reference to the vibration flow meter 5 shown in FIG. 2, it is associated with the left and right pick-off sensors 170l, 170r as well as the components in the instrument electronics 20 such as the CODEC 222 and signal regulator 240, and DSP scaling. There may be a gain. Therefore, the gain associated with the left pick-off sensor 170l is the gain of the pair of left pick-off sensor 170l and drive 180, and the gain associated with the right pick-off sensor 170r is the gain of the pair of right pick-off sensor 170r and drive 180. It is a gain. The gains associated with the left and right pick-off sensors 170l, 170r may be referred to as the "sensor term" or "sensor gain" of the overall gain, and the gain associated with the components in the instrument electronics 20 is the overall gain. It may be referred to as "electronic device term" or "electronic device gain".

As described in more detail below, reference traceable validation allows baseline instrument stiffness values such as baseline left or right pickoff stiffness values to reference traceable flow calibration factors FCF, tubes at air K1. It may be realized by combining with the value of the period and / or the tube period in water K2. The following method illustrates how baseline instrument stiffness values can be associated with a reference traceable flow calibration factor FCF, tube cycle in air K1, and / or tube cycle in water K2.

Reference traceability FIG. 3 shows method 300 for reference traceable verification of a vibrometer. As shown in FIG. 3, method 300 begins by determining the baseline instrument verification value of the vibrometer. Although the vibrometer 5 is shown in FIG. 1, any suitable vibrometer may be employed. In step 320, method 300 determines the relationship between the baseline instrument verification value and the vibrometer calibration value. The calibration value can be traced to the metric.

The baseline instrument verification value of the vibrometer determined in step 310 may be any suitable value, such as the baseline instrument stiffness value. For example, the baseline instrument verification value may be a left side pickoff stiffness value, a right side pickoff stiffness value, a left side pickoff mass value, a right side pickoff mass value, or the like. These and other baseline instrument validation values may have a relationship with the physical attributes of the vibrometer, such as physical mass, physical stiffness, and so on.

The relationship between the baseline instrument validation value and the physical attribute can be any suitable value and, for example, the sensor and / or electron as discussed above with reference to FIG. It may correspond to the device gain. For example, the baseline instrument verification value may be a baseline stiffness value determined using instrument electronics 20 including left and right pick-off sensors 170l, 170r, drive 180, and CODEC 222 and signal regulator 240. Good. Thus, for example, the relationship between the baseline right side pickoff stiffness value and the physical stiffness of the conduits 130, 130' associated with the right side pickoff sensor 170r is the sensor gain of the right side pickoff sensor 170r and the electrons of the CODEC 222 and signal regulator 240. It may be the device gain.

In one example, the baseline instrument verification value may be determined based on physical attributes, such as physical mass or stiffness applied to the gain. As an example, the following equation may be employed to determine the baseline stiffness values using pick-off gain and electronic device gain.

here,
Stiffness _SMV is the baseline stiffness value of a verification instrument, which is an exemplary baseline instrument verification value.
Stiffness _Physical is the physical stiffness value of the vibrometer and
G is the gain associated with one of the left or right pick-off sensors used to measure the physical stiffness Stiffness _Physical of the vibrometer that determines the baseline stiffness value Stiffness _SMV .

The gain G used in the above example can be determined by using the left and right pick-off sensors and the baseline instrument verification stiffness value associated with the flow calibration factor. For example, the following equation can be used.

here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is the stiffness value associated with the right pick-off sensor.
_{Stiffness SMVLPO} is the stiffness value associated with the left pick-off sensor and
FCF is a flow rate calibration factor for a vibrometer, which is a model calibration value expressed in units of stiffness.
The flow calibration coefficient FCF and baseline stiffness values are shown in FIG. 1 for left and right pickoffs, as well as for the same electronic device, such as the instrument electronic device 20 with CODEC 222 and signal regulator 240, shown in FIG. sensor 170l, such as 170 r, since it is determined by using the same left and right sensors, equation [3] and [4] may be used to determine the gain G _LPO and G _RPO. Therefore, the gains G _LPO and G _RPO associated with the left and right pick-off sensors 170l, 170r can be determined from the percentage of baseline stiffness values and flow calibration factor FCF.

Determining the relationship between the baseline instrument validation value and the vibrometer calibration value in step 320 may comprise equating the physical attributes of the vibrometer measured by the pick-off sensor with the calibration value. The calibration value can be a calibration factor, such as, for example, the tube cycle of a vibrometer. The calibration factor can be the flow rate calibration factor FCF, which is amplified with a time delay between the two sensors to determine the mass flow rate, but any suitable calibration factor may be employed. For example, the calibration factor may be a value amplified by the phase difference between the left and right pickoffs in the vibrometer.

The comparison between the calibration value and the instrument verification may be based on the equation of calibration coefficient and physical stiffness of the vibrometer. Therefore, the relationship between the physical attributes of the vibrometer and the calibration value may have an m-th order equation.

here,
Stiffness _Physical is the physical rigidity of the vibrometer, which is a physical attribute of the vibrometer, and
FCF is a flow rate calibration coefficient of the vibrometer and is a calibration value of the vibrometer expressed in units of rigidity.
The relationship between the physical stiffness of the vibrometer and the FCF can be obtained based on the conversion of the flow calibration factor FCF to the stiffness value, as illustrated below.

Flow calibration coefficient FCF is

Any suitable unit may be adopted, although it may be a unit of. The flow calibration factor FCF can be corrected to reference conditions, such as temperatures at zero degrees Celsius (0 ° C). The baseline stiffness value is, for example,

However, any appropriate unit may be adopted. The flow calibration factor FCF is, for example, the relationship:

By using a magnification such as 5,7101 obtained from, it can be converted to the same unit as the unit of the baseline stiffness value.

As an example, a typical flow calibration factor FCF value is shown below.

As described above, the flow rate calibration coefficient FCF value is

By using the relationship, it can be converted into a rigid unit. After performing such a conversion, the flow calibration coefficient FCF, which is expressed as the stiffness value, is

Is.

However, this flow rate calibration coefficient FCF value is not a basic unit. -The pound mass unit (lbm) is not the basic unit. Therefore, additional unit conversions are made to obtain the flow calibration coefficient FCF value in the basic units. After converting the above values to the basic unit, the flow rate calibration coefficient FCF value in the basic unit is

Is. Therefore, the flow calibration coefficient FCF, which is expressed as a stiffness value in the basic unit, can be equal to the physical stiffness of the vibrometer as measured by the pick-off sensor, as described by equation [5] above.

As you can see, both baseline instrument validation and calibration values that are traceable to the metrics are similar to the left and right pick-off sensors 170l, 170r and instrument electronics 20 shown in FIG. And determined using electronic devices, the gains are various baseline instrument validation values, such as baseline mass meter validation values, and various calibrations, such as tube period in air K1, as described below. It is possible to determine the relationship between the value and.

FIG. 4 shows a method for reference traceable verification of a vibrometer. As shown in FIG. 4, method 400 begins by acquiring the relationship between the baseline instrument verification value and the calibration value in step 410. The baseline instrument verification value can be the baseline instrument verification value of the vibrometer, such as the baseline left and / or right side pick-off stiffness values. The relationship can be a gain, such as the gain G _LPO , G _RPO discussed above. In step 420, method 400 determines the value of a physical attribute of the vibrometer, such as the physical mass value, based on the above relationship. The value of the physical attribute can be determined based on the above relationship, for example, by multiplying the gain by the physical mass value determined from the baseline mass value. This physical mass value, determined from the baseline mass value, can be compared to the reference mass determined from the calibration value.

As discussed above, the calibration value may include the tube cycle in air K1, which is the cycle of the conduit when the conduit / tube is filled with air. The tube period at air K1 is proportional to the mass of the conduit, as air is not significantly heavier than steel or other substances typically measured in vibrometer conduits. The unit of tube cycle in air K1 can be microseconds, but any suitable unit may be employed. The tube cycle in air K1 can be corrected to reference conditions, such as temperatures at 0 degrees Celsius (0 ° C). As can be understood, the tube cycle in water K2 can be adopted.

The reference mass value m _reference can be determined from the tube period at air K1. As you can see, the reference mass value m _reference is _traceable to the metric and is in the basic unit of mass. The reference mass value m _reference can be determined using, for example, the following equations [6]-[8], but any appropriate equation and relationship may be adopted. In particular, the resonance frequency of the conduit

Can be determined from. In addition, the tube cycle in air K1, which is in the unit of time, is related.

Can be converted to frequency by using. In an example where the tube cycle in air K1 is in microseconds and the frequency is in radians per second, the following equation [7] is used to obtain the reference frequency of the tube from the tube cycle in air K1. Can be adopted.

By using that the above equation [7] and the reference frequency freq _reference also have the same physical rigidity Stiffness _{Physical as} the flow calibration coefficient FCF of the equation [5], as illustrated by the following equation [8], the pipe The reference mass value m _reference can be determined.

Gains associated with left and right pick-off sensors determined by using the above equations [3]-[4], such as G _RPO , G _LPO , are the values of the physical attributes and the instrument verification values. It can be used to determine relationships. For example, the instrument verification value may include an instrument verification mass value Mass _SMV . In this example, the instrument verification mass value Mass _SMV may be related to the physical mass value Mass _Physical using the following equation [9].

Therefore, the physical mass value Mass _Physical associated with the pick-off sensor, such as the left and right pick-off sensors 170l, 170r as shown in FIG. 1, can be determined by using the following equation.

here,
Mass _{SMVPphysicalLPO} is the physical mass value of the vibrometer measured using the left pick-off sensor.
Mass _SMVLPO is the mass value of the vibrometer associated with the left pick-off sensor.
G _LPO is the gain associated with the left pickoff, and

here,
Mass _{SMVPphysicalRPO} is the physical mass value of the vibrometer measured using the right pick-off sensor.
Mass _SMVRPO is the mass value of the vibrometer associated with the right pick-off sensor, and
G _RPO is the gain associated with the right pick-off sensor.

The reference mass value m _reference and the physical mass values Mass _{SMVPhysicalLPO} and Mass _{SMVPhysicalRPO} can be used to determine when changes occur in the vibrometer. In addition, such changes may be traceable to the metric. That is, physical attributes such as the physical mass values Mass _{SMVPhysicalLPO} and Mass _{SMVPhysicalRPO} and the reference mass value m _reference can be compared with the reference physical attributes. In one example, the comparison may consist of determining the deviation from the reference physical attribute. Such a determination can be made using the following equation.

here,
Mass _{traceableDeviationLPO} is a _traceable deviation of a physical attribute from the reference physical attribute as measured by the left pick-off sensor.
Mass _{SMVPphysicalLPO} is the physical attribute of the vibrometer, the physical mass of the vibrometer measured by the left pick-off sensor, and
m _reference is the reference mass value, which is the reference physical attribute of the vibrometer.

here,
Mass _{traceableDeviationRPO} is the _traceable deviation of a physical attribute from the reference physical attribute as measured by the right pick-off sensor.
Mass _{SMVPphysicalRPO} is the physical mass of the vibrometer measured by the right pick-off sensor, which is a physical attribute of the vibrometer, and
m _reference is a reference mass value which is a reference physical attribute value of the vibrometer.

As you can see, there are other approaches to reference traceable instrument verification. For example, instead of using the physical mass values Mass _{SMVPhysicalLPO} , Mass _{SMVPhysicalRPO} and the reference mass value m _reference and comparison, the physical stiffness value and the reference stiffness value can be compared. In this example, the reference mass can be obtained using equations [6]-[8] above. The gain term can be calculated using the above equations [9]-[11] in the following format.

This gain term can be used to calculate the physical stiffness using the following equation.

Therefore, the stiffness deviation is

Can be calculated using.
here,
Stiff _traceable Deviation is a reference _traceable stiffness deviation.
Stiff _SMVPhysical is the physical rigidity of the vibrometer and
FCF is a flow rate calibration coefficient of a vibrometer, and is a vibrometer calibration value expressed in units of rigidity.
Therefore, a reference _traceable stiffness deviation Stiff _traceable Deviation can be used to determine when a change occurs in a vibrometer with a reference _traceable unit. As you can see, equations [14]-[16] can be associated with each sensor. A reference _traceable stiffness deviation Stiff _traceable Deviation LPO associated with the left side pickoff sensor, such as the left side pickoff sensor 170l shown in FIGS. 1 and 2, can be calculated. A reference _traceable stiffness deviation Stiff _traceable Deviation RPO associated with the right side pickoff sensor, such as the right side pickoff sensor 170r shown in FIGS. 1 and 2, can also be calculated.

The above discussion depends on mass and stiffness as typical physical attributes, but other physical attributes may be adopted. For example, the amount of deviation (eg amplitude) of the conduits 130, 130'at the positions of the pick-off sensors 170l, 170r, as discussed above, is the amount of deviation (eg, amplitude) of the conduits 130, 130 between the drive 180 and the pick-off sensor. It is proportional to the rigidity of ´. Therefore, the baseline instrument verification value can be the baseline amplitude value of conduits 130, 130'. Similarly, the calibration value can be a calibrated measurement of amplitude, referred to as the calibrated amplitude value of the conduits 130, 130'at the positions of the left and right pick-off sensors 170l, 170r. The instrument verification value can be, for example, the voltage of the sensor signal 165.

Calibrated measurements of the amplitude of conduits 130, 130'can be made either directly, such as using an accelerometer, or by using an indirect method, such as a light source reflecting from conduits 130, 130'. The gain term-like relationship between the calibrated measurement and the voltage of the sensor signal 165 can be determined by dividing the calibrated measurement by the voltage of the sensor signal 165 and dividing by the calibrated amplitude value. In addition, the calibrated amplitude value can be used to determine a reference value, such as a reference amplitude value, as compared to an amplitude instrument verification value determined during instrument verification based on the sensor signal 165.

The methods 300, 400 described above are baseline instrument validation values in the context of one or two different methods of acquiring a relationship or determining a relationship based on one of various physical attributes. And the relationship between the calibration value and the calibration value are discussed. In the following, we will discuss how to use not only two baseline instrument verification values but also two physical attributes.

FIG. 5 shows method 500 for reference traceable instrument verification of a vibrometer. As shown in FIG. 5, method 500 begins by determining the first baseline instrument verification value of the first physical attribute of the vibrometer in step 510. In step 520, method 500 determines the relationship between the first baseline instrument verification value and the calibration value of the first physical attribute. In step 530, the method 500 determines the value of the second physical attribute of the vibrometer based on the relationship and the instrument verification value of the second physical attribute. Method 500 compares the value of the second physical attribute with the calibration value of the second physical attribute in step 540. An additional step, such as performing a frequency check in step 550, is further performed to ensure that the aforementioned steps 510-540 are performed correctly.

In step 510, the first baseline instrument verification value of the first physical attribute may be one of the baseline mass meter verification value and the baseline stiffness instrument verification value. As discussed above with reference to equation [2], it can be proportional to the physical stiffness value and the gain of the sensor associated with the sensor that depends on measuring the baseline stiffness meter verification value. Similarly, the baseline mass meter validation value is proportional to the physical mass value and the gain associated with the sensor that depends on measuring the baseline mass meter validation value, as shown in equation [14]. obtain.

In step 520, the relationship is the calibration value of the first baseline instrument and the calibration value of the first physical attribute by determining the gain between the first baseline instrument validation value and the calibration value of the first physical attribute. Can be determined between. The relationship can be, for example, the gain associated with one of the pick-off sensors. In one example, the gain can be determined using the equations [3] and [4] discussed above, utilizing the stiffness associated with the left and right pick-off sensors and one of the flow calibration coefficients FCF. The flow rate calibration coefficient FCF is an example of the calibration value of the first physical attribute, and the first physical attribute is the rigidity of the conduit. Alternatively, the gain can be determined using the mass associated with one of the left or right pick-off sensors.

In step 530, the value of the second physical attribute of the vibrometer becomes the instrument verification value of the relationship and the second physical attribute, for example by using the gain associated with one of the left or right pick-off sensors. Can be determined on the basis. In one example, the first physical attribute may be stiffness and the second physical attribute may be physical mass. In this example, the value of the second physical attribute is the physical mass value associated with one of the left or right pick-off sensors determined using the equations [10] and [11] discussed above. possible. However, the first and / or second physical attribute can be the amplitude of the conduit. When the first physical attribute is physical mass, the value of the second physical attribute can be, for example, the physical stiffness value determined by equation [15].

In step 540, the value of the second physical attribute and the calibration value of the second physical attribute determine, for example, the physical mass value determined for one of the pick-off sensors from the tube period in air K1. It can be compared by comparing with a reference mass value determined from the calibration value, such as the reference mass value to be made. In one example, the comparison may comprise determining the deviation from the reference mass value, as discussed above with reference to equations [12] and [13]. In addition or instead, a comparison is made between the physical stiffness value and the reference stiffness value determined, eg, a calibration value such as the flow calibration factor FCF, as shown in equation [16]. possible. In addition or instead, the reference mass value can be determined using the tube period in water K2.

Additional steps such as frequency checking at step 550 may be performed. For example, the frequency determined from the stiffness and mass according to equation [6], where the tube period and flow calibration factor FCF in air K1 is utilized, can be compared to the measured frequency. This comparison can enable reference traceable instrument verification. For example, if the frequency measured during the instrument verification procedure changes significantly from the frequency estimated from the instrument verification stiffness and instrument verification mass, the reference traceable instrument verification can be overridden. This can ensure that the reference traceable instrument validation values are valid. In one example, the frequency check is the first baseline instrument validation value, the first physical attribute calibration value, the second physical attribute value, and / or the second physics discussed above with reference to Method 500. The comparison of the value of the target attribute and the calibration value of the second physical attribute may be valid.

The frequency check performed in step 550 can be in any suitable form, such as the density of the reference flow rate on the vibrometer calculated from the frequency. For example, the air density can be estimated from the instrument verification stiffness and the instrument verification mass and can be compared to the reference air density value. This reference air density value can be determined during calculations that determine the tube period at air K1, the tube period at water K2, and so on. This reference air density value can be determined using reference traceable environmental condition measurements for temperature, pressure, humidity, etc., and can therefore also be considered reference traceable. Therefore, instrument verification confirmations can also be considered reference traceable.

The methods 300, 400, 500 described above can be performed by any suitable system. For example, baseline instrument verification and vibrometer calibration values can be determined during calculations, such as at the customer location, at the vibrometer manufacturer, and can be stored in the instrument electronics 20. By storing baseline instrument verification and calibration values, changes to the vibrometer can be determined in relation to the reference value determined from the calibration values. A typical system is described below.

FIG. 6 shows a system 600 for reference traceable verification of the vibrometer. As shown in FIG. 6, system 600 includes a storage device 610 communicatively coupled with processing system 620. The storage device 610 may be communicably coupled to the processing system 620 via any suitable means, such as electronic communication over the Internet and communication via a computer bus, local area network, or the like. Communication may include, for example, communicating baseline instrument verification values and / or calibration values. Other values, such as reference values, can also be communicated.

The storage device 610 may be, for example, anything capable of receiving and storing baseline instrument verification and calibration values and communicating such values with the processing system. For example, the storage device 610 may be a memory on the instrument electronic device 20 that is communicably coupled to the processing system 620, which is also in the instrument electronic device 20. Alternatively, the storage device 610 can be a server, such as a server hosted by the manufacturer of the vibrometer 5 that provides baseline instrument validation and / or calibration values on the Internet.

The processing system 620 may be any system configured to determine the baseline instrument verification value of the vibrometer and to relate the baseline instrument verification value to the calibration value of the vibrometer. The processing system 620 may be configured to determine the relationship based on the instrument verification and calibration values and to determine the physical attributes of the vibrometer based on the relationship. The processing system 620 can be, for example, a single processing device or a plurality of processing devices distributed over the Internet.

In one example, the processing system 620 may include a processing device on the instrument electronic device 20 described above with reference to FIG. In this example, the processing device in the instrument electronic device 20 may use the sensor signals provided by the left and right pick-off sensors 170l, 170r to determine the baseline instrument verification value. A separate processing device, such as a workstation communicatively coupled to the instrument electronic device 20, may determine the calibration value, such as the flow rate calibration factor FCF described above. Therefore, the instrument electronics 20 and workstation may include a processing system 620. In this example, the workstation may provide the flow calibration factor FCF to the instrument electronics 20 and, for example, the manufacturer's server. In addition, the instrument electronics 20 may provide baseline instrument validation values, such as baseline stiffness and mass values, to the manufacturer's server.

The instrument electronic device 20, the workstation on the customer side, and the like may request the baseline instrument verification value and the calibration value from the manufacturer's server. The instrument electronics 20 or workstation may use baseline instrument validation and calibration values to determine relationships such as gain. In addition or instead, the manufacturer's server may determine and provide the relationship between the baseline instrument validation value and the calibration value. The instrument electronic device 20, the customer's workstation, the manufacturer's server, and the like can then determine the value of a physical attribute, such as the physical mass value of the vibrometer 5, based on the above relationship. This value of the physical attribute can be used, for example, to perform a reference traceable verification of the vibrometer using methods 300, 400, 500 described above.

As can be understood, methods 300, 400, 500 and system 600 provide a reference traceable verification of the vibrometer, such as the vibrometer 5 described with reference to FIG. Methods 300, 400, 500 and system 600 may provide, for example, reference traceable deviation values. The mass deviation value of the above equation [13] is in a basic unit (for example, mass, force, time, etc.) that can be traced to the measurement reference. Therefore, the deviation value can be a measurement of relative variability up to the metric as well as a measurement of relative variability specific to the flow meter. This deviation value is therefore, for example, even though different flow meters can have different resonance frequencies, mass values (eg, due to different tube dimensions), stiffness values (eg, due to different conduit geometries), and so on. However, it can be compared in a meaningful way among various flow meters.

The detailed description of the above embodiments is not an exhaustive description of all embodiments intended by the inventors to be within the scope of this description. In fact, one of ordinary skill in the art can create additional embodiments by variously combining or deleting specific elements of the above embodiments, such additional embodiments are included in the scope and teachings of this description. Will be recognized. It will also be apparent to those skilled in the art that the above embodiments can be combined in whole or in part to create additional embodiments within the scope and teachings of this description.

Thus, although certain embodiments have been described herein for illustrative purposes, various equivalent modifications are possible within the scope of this description, as will be appreciated by those skilled in the art. The teachings provided herein can be applied not only to the embodiments shown in the accompanying figures described above, but also to other reference traceable validations of vibrometers. Therefore, the scope of the above-described embodiment should be determined from the appended claims.

Claims (33)

A reference traceable verification system (600) for the vibrometer (5).
A storage device (610) having a baseline instrument verification value of the vibrometer (5),
A processing system (620) for communication with the storage device (610) is provided.
The processing system (620)
The baseline instrument verification value is acquired from the storage device (610), and
A system (600) configured to determine the relationship between the baseline instrument validation value and the calibration value of the vibrometer (5), the calibration value being traceable to a metric. The processing system (620) configured to determine the baseline instrument verification value of the vibrometer determines the baseline instrument verification value associated with one of the right side pickoff sensor and the left side pickoff sensor. The system (600) according to claim 1, further comprising the processing system (620) configured as described above. The processing system (620) configured to determine the baseline instrument verification value of the vibrometer comprises the processing system (620) configured to determine the following equation.
here,
The Stiffness _SMV is the rigidity instrument verification value of the vibrometer, which is the baseline instrument verification value.
Stiffness _Physical is the physical rigidity value of the vibrometer and
The system (600) according to claim 1 or 2, wherein G is a gain associated with one of the left pick-off sensor and the right pick-off sensor. The processing system (620) configured to determine the relationship between the baseline instrument verification value and the calibration value is such that the gain is determined between the baseline instrument verification value and the calibration value. The system (600) according to any one of claims 1 to 3, further comprising the processing system (620). The system (600) of claim 4, wherein the gain is associated with one of a right side pickoff sensor and a left side pickoff sensor. The gain is determined using one of the following equations:
here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is a stiffness instrument verification value associated with the right pick-off sensor.
_{Stiffness SMVLPO} is a stiffness meter verification value associated with the left pick-off sensor, and is
The system (600) according to claim 5, wherein the FCF is the flow rate calibration coefficient of the vibrometer and the calibration value expressed in units of rigidity. The processing system (620) configured to determine the relationship between the baseline instrument verification value and the calibration value comprises the processing system (620) configured to use the following equation.
here,
Stiffness _Physical is the physical rigidity value of the vibrometer and
The system (600) according to any one of claims 1 to 6, wherein the FCF is a flow rate calibration coefficient of the vibrometer and the calibration value of the vibrometer expressed in units of rigidity. Any of claims 1 to 7, wherein determining the relationship between the baseline instrument verification value and the calibration value of the vibrometer (5) comprises determining a reference physical attribute value from the calibration value. The system (600) according to one item. The system (600) according to any one of claims 1 to 8, wherein the baseline instrument verification value is one of a baseline mass meter verification value and a baseline rigidity instrument verification value of the vibrometer. .. The system (600) according to any one of claims 1 to 9, wherein the calibration value is one of a flow rate calibration coefficient and a tube cycle of the vibrometer. A method for traceable verification of vibrometer reference,
Determining the baseline instrument verification value of the vibrometer
A method comprising determining the relationship between the baseline instrument validation value and the calibration value of the vibrometer, wherein the calibration value is traceable to a metric. 11. The method of claim 11, wherein determining the baseline instrument verification value of the vibrometer comprises determining a baseline instrument verification value associated with one of a right-side pick-off sensor and a left-side pick-off sensor. .. Determining the baseline instrument verification value of the vibrometer comprises using the following equation.
here,
The Stiffness _SMV is the rigidity instrument verification value of the vibrometer, which is the baseline instrument verification value.
Stiffness _Physical is the physical rigidity value of the vibrometer and
The method of claim 11 or 12, wherein G is the gain associated with one of the left pick-off sensor and the right pick-off sensor. Any of claims 11 to 13, determining the relationship between the baseline instrument verification value and the calibration value comprises determining a gain between the baseline instrument verification value and the calibration value. The method described in paragraph 1. 14. The method of claim 14, wherein the gain is associated with one of a right side pickoff sensor and a left side pickoff sensor. The gain is determined using one of the following equations:
here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is a stiffness instrument verification value associated with the right pick-off sensor.
_{Stiffness SMVLPO} is a stiffness meter verification value associated with the left pick-off sensor, and is
The method according to claim 15, wherein the FCF is a flow rate calibration coefficient of the vibrometer and is the calibration value expressed in units of rigidity. Determining the relationship between the baseline instrument verification value and the calibration value comprises using the following equation.
here,
Stiffness _Physical is the physical rigidity value of the vibrometer and
The method according to any one of claims 11 to 16, wherein FCF is a flow rate calibration coefficient of the vibrometer and is the calibration value of the vibrometer expressed in units of rigidity. The method according to any one of claims 11 to 17, wherein determining the relationship between the baseline instrument verification value and the calibration value comprises determining a reference physical attribute value from the calibration value. .. The method according to any one of claims 11 to 18, wherein the baseline instrument verification value is one of a baseline mass meter verification value and a baseline rigidity instrument verification value of the vibrometer. The method according to any one of claims 11 to 19, wherein the calibration value is one of a flow rate calibration coefficient and a tube cycle of the vibrometer. A reference traceable verification method for vibrometers
To obtain the relationship between the baseline instrument verification value and the calibration value,
A method comprising determining the value of a physical attribute of the vibrometer based on the relationship. The baseline instrument verification value is one of the baseline rigidity instrument verification value and the baseline mass meter verification value, and the calibration value is one of the flow rate calibration coefficient and the tube cycle of the vibrometer. The method according to claim 21. Acquiring the relationship between the baseline instrument verification value and the calibration value comprises acquiring a gain determined using one of the following equations:
here,
G _LPO is the gain associated with the left pick-off sensor
G _RPO is the gain associated with the right pick-off sensor,
_{Stiffness SMVRPO} is the stiffness value associated with the right pick-off sensor.
The _{Stiffness SMVLPO} is a stiffness value associated with the left pick-off sensor and is
The method according to claim 21 or 22, wherein the FCF is a flow rate calibration coefficient of the vibrometer and is the calibration value expressed in units of rigidity. Determining the value of the physical attribute of the vibrometer based on the relationship comprises determining the physical mass value of the vibrometer based on the mass meter verification value and gain of the vibrometer. Item 2. The method according to any one of Items 21 to 23. Determining the physical mass value of the vibrometer based on the mass meter verification value and gain of the vibrometer comprises determining one of the following equations:
here,
The Mass _{SMVPphysicalLPO} is the physical mass value of the vibrometer determined using the left pick-off sensor.
The Mass _SMVLPO is the mass meter verification value of the vibrometer associated with the left pick-off sensor.
G _LPO is the gain associated with the left pick-off sensor and
here,
Mass _{SMVPphysicalRPO} is the physical mass value of the vibrometer determined using the right pick-off sensor.
The Mass _SMVRPO is the mass meter verification value of the vibrometer associated with the right pick-off sensor, and is
24. The method of claim 24, wherein the G _RPO is a gain associated with the right pick-off sensor. 21. The aspect of any one of claims 21 to 25, further comprising comparing the value of the physical attribute of the vibrometer with a reference physical attribute value determined from the second calibration value of the vibrometer. Method. Comparing the value of the physical attribute of the vibrometer with the reference physical attribute value comprises using one of the following equations to determine the deviation from the reference physical attribute value.
here,
A Mass _{traceable Deviation LPO} is a reference _traceable deviation of the physical attribute from the reference physical attribute value as measured by the left pick-off sensor.
The Mass _{traceable Deviation LPO} is the physical mass value of the vibrometer determined by using the left side pick-off sensor, which is the physical attribute of the vibrometer, and is
The m _reference is a reference mass value which is the reference physical attribute value of the vibrometer, and is
here,
The Mass _{traceable DeviationRPO} is a reference _traceable deviation of the physical attribute from the reference physical attribute value as measured by the right pick-off sensor.
The Mass _{SMVPphysicalRPO} is the physical mass of the vibrometer measured by the right pick-off sensor, which is the physical attribute of the vibrometer, and is
26. The method of claim 26, wherein the m _reference is a reference mass value which is the reference physical attribute value of the vibrometer. The reference physical attribute value is a reference mass value determined by using the following equation.
m _reference is the reference mass value which is the reference physical attribute value, and is
The FCF is a flow rate calibration coefficient, which is the calibration value expressed in units of rigidity, and
26. The method of claim 26, wherein the freq _reference is a reference frequency value determined from a second calibration value, wherein the second calibration value is a tube cycle in air K1. It is a verification method that can trace the reference of the vibrometer.
Determining the first baseline instrument verification value of the first physical attribute of the vibrometer,
Determining the relationship between the first baseline instrument verification value and the calibration value of the first physical attribute,
Determining the value of the second physical attribute of the vibrometer based on the relationship and the instrument verification value of the second physical attribute.
A method comprising comparing the value of the second physical attribute with the calibration value of the second physical attribute. The method according to claim 29, wherein the first baseline instrument verification value is one of a baseline mass meter verification value, a baseline rigidity instrument verification value, and a baseline conduit amplitude value. Determining the relationship between the first baseline instrument verification value and the calibration value of the first physical attribute is a determination of the first baseline instrument verification value and the calibration value of the first physical attribute. 29 or 30. The method of claim 29 or 30, comprising determining the gain between. Comparing the value of the second physical attribute with the calibration value of the second physical attribute compares the value of the second physical attribute with the reference physical attribute value determined from the calibration value. The method according to any one of claims 29 to 31, wherein the method comprises the above. The first baseline instrument verification value, the calibration value of the first physical attribute, the value of the second physical attribute, and the value of the second physical attribute and the value of the second physical attribute. The method of any one of claims 29-32, further comprising performing at least one frequency check of the comparison with the calibration value.